Fixing dirty data with Susan Walsh, The Classification Guru

What’s in this podcast?

In this episode Jason talks to Susan Walsh, the self named Classification Guru, about dirty data in the context of your data strategy. They discuss what dirty data is, why the quality of data becomes bad in the first place and the impact dirty data has on organisations in terms of regulation, commercials, budget and mis-information. They also discuss Susan’s method, COAT, on how to fix dirty data and stop it becoming dirty in the first place. Listen to this episode on Spotify, iTunes, and Stitcher. You can also catch up on the previous episodes of the Hub & Spoken podcast when you subscribe. What are your thoughts on this topic? We’d love to hear from you; join the #HubandSpoken discussion and let us know on Twitter and LinkedIn.   For more on COAT, have a read of Susan's guest blog: Why your data needs a quality COAT